Dong-Kun Yang

1.1k citations
89 papers · 799 · h-index 15

Impact in

  • Virology top 5%
    • Rabies epidemiology and control
    • Viral gastroenteritis research and epidemiology
    • Viral Infections and Vectors

Papers in

    • Viral gastroenteritis research and epidemiology 18
    • Viral Infections and Vectors 16
    • Rabies epidemiology and control 27

Dong-Kun Yang

81 papers receiving 774 citations

Peers

Dong-Kun Yang
Comparison fields: 5 of 51
  • Virology 197
  • Infectious Diseases 477
  • Animal Science and Zoology 229
  • Microbiology 93
  • Parasitology 56
Replace Hirohito Ogawa with:
Hirohito Ogawa Japan
Dennis Rubbenstroth Germany
Kore Schlottau Germany
Sandra Revilla‐Fernández Austria
Abdelmalik I. Khalafalla Sudan
Shu‐Hwae Lee Taiwan
Anita Huovilainen Finland
M. Tollis Italy
Qin Zhao China
Paola De Benedictis Italy
Dong-Kun Yang relative to Hirohito Ogawa Japan Hirohito Ogawa's profile →
Citations per field
00.5×1.5×2.0×
Hirohito Ogawa · 1×
Citations per year

Countries citing papers authored by Dong-Kun Yang

Since Specialization
Citations

This map shows the geographic impact of Dong-Kun Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dong-Kun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong-Kun Yang more than expected).

Fields of papers citing papers by Dong-Kun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong-Kun Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dong-Kun Yang. The network helps show where Dong-Kun Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Dong-Kun Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dong-Kun Yang Line = papers co-authored together Dong-Kun Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201161
2 200754
3 201246
4 201145
5 201343
6 201531
7 201830
8 201428
9 201728
10 201227
11 201124
12 200723
13 201317
14 201817
15 201815
16 201512
17 201812
18 201511
19 201411
20 201711

About Dong-Kun Yang

Dong-Kun Yang is a scholar working on Infectious Diseases, Virology, Genetics, Epidemiology and Animal Science and Zoology, having authored 89 papers that have together received 799 indexed citations. Recurring topics across this work include Rabies epidemiology and control (27 papers), Virus-based gene therapy research (21 papers), Viral gastroenteritis research and epidemiology (18 papers), Animal Virus Infections Studies (18 papers), Viral Infections and Vectors (16 papers), Vector-Borne Animal Diseases (13 papers), Virology and Viral Diseases (12 papers) and Mosquito-borne diseases and control (12 papers). The work is most often cited by research in Virology (197 citations), Infectious Diseases (477 citations), Animal Science and Zoology (229 citations), Microbiology (93 citations) and Parasitology (56 citations). Dong-Kun Yang has collaborated with scholars based in South Korea, Belgium and United States. Frequent co-authors include Ha-Hyun Kim, Jae‐Young Song, In‐Soo Cho, Bang‐Hun Hyun, Kyung-Woo Lee, Mun-Il Kang, Kyoung‐Oh Cho, Jin‐Ju Nah, Sang‐Ik Park and Jae Young Yoo. Their work appears in journals such as Clinical and Experimental Vaccine Research, Journal of Veterinary Science, Veterinary Microbiology, Virus Research and Frontiers in Veterinary Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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